Blue Carbon Storage in Mangrove-Seagrass Ecotones
マングローブ-海草エコトーンにおけるブルーカーボン貯蔵 (AI 翻訳)
Vidya N
🤖 gxceed AI 要約
日本語
本研究は、マングローブと海草の遷移帯（エコトーン）における炭素貯蔵能を定量化。Sentinel-2衛星画像とランダムフォレスト分類により生息域を識別し、堆積物コアから有機炭素を測定。エコトーンは中間的な炭素濃度を示し、未計上だった炭素プールとして重要。
English
This study quantifies sediment organic carbon in mangrove-seagrass ecotones using Sentinel-2 remote sensing with Random Forest classification and sediment coring. Ecotones show intermediate carbon concentrations, storing an estimated 142 ± 38 Mg C ha⁻¹, representing a previously unaccounted carbon pool.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では沖縄などにマングローブが分布し、ブルーカーボン生態系として注目されている。本研究成果は、日本の沿岸域での炭素貯蔵量評価や国家インベントリへの反映に示唆を与える。
In the global GX context
Blue carbon ecosystems are increasingly recognized for climate mitigation. This study highlights the importance of transitional ecotones, which are often overlooked in global carbon accounting, and provides data that could inform national inventories and conservation priorities under frameworks like the Paris Agreement.
👥 読者別の含意
🔬研究者:Provides novel empirical data on carbon storage in mangrove-seagrass ecotones, filling a gap in blue carbon research.
🏢実務担当者:Can inform coastal management strategies and carbon credit projects by quantifying previously unaccounted carbon stocks.
🏛政策担当者:Offers evidence to incorporate ecotone zones into national blue carbon inventories and conservation planning.
📄 Abstract（原文）
Mangrove forests and seagrass meadows are recognized as globally significant blue carbon ecosystems, yet the transitional ecotones between these habitats remain largely uncharacterized in terms of their carbon storage capacity. This study quantifies sediment organic carbon stocks across 12 mangrove-seagrass ecotone sites spanning the Indo-Pacific and East African coastlines, using a combination of Sentinel-2 multispectral remote sensing for habitat delineation and sediment coring for direct carbon measurement. A Random Forest classifier applied to Sentinel-2 imagery achieved 84.6 percent overall classification accuracy across five habitat classes, with ecotone zones showing the lowest but still acceptable accuracies (producer's 78.2 percent, user's 76.8 percent) owing to their spectral similarity to adjacent habitats. Sediment cores to one-meter depth revealed that ecotone carbon concentrations are consistently intermediate between dense mangrove and seagrass values, ranging from 3.8 to 10.1 percent organic carbon by weight depending on depth. Extrapolated across mapped ecotone areas, these transitional zones store an estimated 142 ± 38 Mg C ha⁻¹ in the upper meter of sediment, representing a previously unaccounted carbon pool with implications for national blue carbon inventories and coastal conservation prioritization.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20700450first seen 2026-06-17 05:53:24 · last seen 2026-06-17 09:17:09
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